works on

From the 1 of 5 linked papers with an AI index.

most citedBridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

Xiangning Lin, Shenzhe Zhu, Shu Yang +23

The paper presents AISPA, a user‑centric framework for auditing the system prompts that guide large language model behavior in commercial AI products, and reports findings from ana…

cs.AI2026

Interactive Task Alignment as a POMDP

Andy Dai, Zexue He, Zhenyu Zhang +2

Current benchmarks for language models primarily evaluate execution on fully specified tasks. However, real user tasks are often ambiguous. Users arrive with incomplete, explorator…

cs.AI2026

Interactive Evaluation Requires a Design Science

Keyang Xuan, Peiyang Song, Pan Lu +10

AI evaluation is undergoing a structural change. Large language models (LLMs) are increasingly deployed as systems that act over time through tools, environments, users, and other…

cs.AI20267 cited

Bridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety

Yuxin Zhang, Xi Wang, Mo Hu +1

Information retrieval and question answering from safety regulations are essential for automated construction compliance checking but are hindered by the linguistic and structural…

cs.AI2024

Responsible AI in Construction Safety: Systematic Evaluation of Large Language Models and Prompt Engineering

Farouq Sammour, Jia Xu, Xi Wang +2

Construction remains one of the most hazardous sectors. Recent advancements in AI, particularly Large Language Models (LLMs), offer promising opportunities for enhancing workplace…